Hyperpolarized Magnetic Resonance Research Articles

Multi-Modal Investigation of Metabolism in Murine Breast Cancer Cell Lines Using Fluorescence Lifetime Microscopy and Hyperpolarized 13C-Pyruvate Magnetic Resonance Spectroscopy.

Background/Objectives: Despite the role of metabolism in breast cancer metastasis, we still cannot predict which breast tumors will progress to distal metastatic lesions or remain dormant. This work uses metabolic imaging to study breast cancer cell lines (4T1, 4T07, and 67NR) with differing metastatic potential in a 3D collagen gel bioreactor system. Methods: Within the bioreactor, hyperpolarized magnetic resonance spectroscopy (HP-MRS) is used to image lactate/pyruvate ratios, while fluorescence lifetime imaging microscopy (FLIM) of endogenous metabolites measures metabolism at the cellular scale. Results: HP-MRS results showed no lactate peak for 67NR and a comparatively large lactate/pyruvate ratio for both 4T1 and 4T07 cell lines, suggestive of greater pyruvate utilization with greater metastatic potential. Similar patterns were observed using FLIM with significant increases in FAD intensity, redox ratio, and NAD(P)H lifetime. The lactate/pyruvate ratio was strongly correlated to NAD(P)H lifetime, consistent with the role of NADH as an electron donor for the glycolytic pathway, suggestive of an overall upregulation of metabolism (both glycolytic and oxidative), for the 4T07 and 4T1 cell lines compared to the non-metastatic 67NR cell line. Conclusions: These findings support a complementary role for HP-MRS and FLIM enabled by a novel collagen gel bioreactor system to investigate metastatic potential and cancer metabolism.

Advancements, Challenges, and Future Prospects in Clinical Hyperpolarized Magnetic Resonance Imaging: A Comprehensive Review

Hyperpolarized (HP) magnetic resonance imaging (MRI) is a groundbreaking imaging platform advancing from research to clinical practice, offering new possibilities for real-time, non-invasive metabolic imaging. This review explores the latest advancements, challenges, and future directions of HP MRI, emphasizing its transformative impact on both translational research and clinical applications. By employing techniques such as dissolution Dynamic Nuclear Polarization (dDNP), Parahydrogen-Induced Polarization (PHIP), Signal Amplification by Reversible Exchange (SABRE), and Spin-Exchange Optical Pumping (SEOP), HP MRI achieves enhanced nuclear spin polarization, enabling in vivo visualization of metabolic pathways with exceptional sensitivity. Current challenges, such as limited imaging windows, complex pre-scan protocols, and data processing difficulties, are addressed through innovative solutions like advanced pulse sequences, bolus tracking, and kinetic modeling. We highlight the evolution of HP MRI technology, focusing on its potential to revolutionize disease diagnosis and monitoring by revealing metabolic processes beyond the reach of conventional MRI and positron emission tomography (PET). Key advancements include the development of novel tracers like [2-13C]pyruvate and [1-13C]-alpha-ketoglutarate and improved data analysis techniques, broadening the scope of clinical metabolic imaging. Future prospects emphasize integrating artificial intelligence, standardizing imaging protocols, and developing new hyperpolarized agents to enhance reproducibility and expand clinical capabilities particularly in oncology, cardiology, and neurology. Ultimately, we envisioned HP MRI as a standardized modality for dynamic metabolic imaging in clinical practice.

Abstract B019: Sensitivity and specificity of detecting premalignant pancreatic lesions by hyperpolarized magnetic resonance

Abstract Introduction: The high mortality rate of pancreatic cancer (PC) results from a lack of methods for early detection. The progression of PC occurs primarily via two precursor pathways, either through microscopic pancreatic intraepithelial neoplasias (PanINs) or macroscopic cystic lesions, of which intraductal papillary mucinous neoplasms (IPMNs) are the most common. The progression from either PanIns or IPMN to PC, provides an opportunity for early detection of this lethal disease. PC cells have extensively reprogrammed metabolism and we have successfully employed hyperpolarized 1-13C pyruvate metabolic imaging (HP MR) to measure non-invasively the metabolic plasticity as the disease initiates and evolves. Concurrently, the specificity of HP MR of detecting premalignant lesions will be determined by imaging pancreatitis induced mice at different timepoints and compare them to the premalignant models. Methods: HP 1-13C Pyruvate MRS was employed to study the metabolic processes in tamoxifen inducible GEM models (P48CreERT2;LSL-KrasG12D (iKC)) with pre-invasive PanIN precursor lesions, invasive PC model (P48CreERT2;LSL-KrasG12D;LSL-p53R172H (iKPC)) and control animals (P48CreERT2 (iC)). These mice were imaged at different time points, before tamoxifen induction, 10-, 20-, and 30-weeks post induction. HP MR was also employed on IPMN mouse model (p48Cre;LSL- KrasG12D;Rosa26R-LSL-rtTA-TetO-GnasR201C) that develop premalignant cystic lesions, that progresses to PC on doxycycline diet (Dox+) for 15 weeks and control mice on normal diet (Dox-). These mice were imaged after 15 weeks of (Dox±) treatment. Simultaneously, wildtype, iC and iKC mice were treated with caerulein for three weeks for the development of pancreatitis and imaged 24 hours after treatment. Results: In the PanIN model, the lactate-to-pyruvate (lac/pyr) ratio increased in the PC models compared to the control model. For the aggressive iKPC mouse model, at the 20-week post induction imaging there was a significant increase of the lac/pyr ratio (0.28±0.04) compared to the 10-week time point (0.22±0.03). At the 20-week time point, the iKPC ratio was higher than the iKC and control ratios, (0.28±0.04 compared to 0.23±0.03 and 0.22±0.02 respectively) indicating the invasive nature of the cancer. Even in the iKC model there is a slight increase of the lac/pyr ratio at 20-weeks (0.23±0.03) compared to control (0.22±0.02). Mice treated with caerulein developed pancreatitis as demonstrated by tissue histology. Surprisingly, the lac/pyr ratio remained constant in both iC and iKC mice that developed pancreatitis, around 0.15±0.03 for both groups. In the IPMN model, IPMN mice feed with doxycycline showed increase pancreatic lesions and an increased lac/pyr ratio (0.43±0.05) compared to mice on normal diet (0.24±0.05). Conclusion: HP MR can detect metabolic shift to lactate in two different models of PC premalignancy representing two different pathways of PC progression. This finding can be potentially translated to the clinic for detection of premalignant pancreatic lesions in high-risk populations. Citation Format: José S Enriquez, Rian M Howell, Olivereen Le Roux, Shivanand Pudakalakatti, Prasanta Dutta, Florencia McAllister, Pratip K Bhattacharya. Sensitivity and specificity of detecting premalignant pancreatic lesions by hyperpolarized magnetic resonance [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B019.

Machine learning and magnetic resonance image texture analysis predicts accelerated lung function decline in ex-smokers with and without chronic obstructive pulmonary disease.

Our objective was to train machine-learning algorithms on hyperpolarized magnetic resonance imaging (MRI) datasets to generate models of accelerated lung function decline in participants with and without chronic-obstructive-pulmonary-disease. We hypothesized that hyperpolarized gas MRI ventilation, machine-learning, and multivariate modeling could be combined to predict clinically-relevant changes in forced expiratory volume in 1s ( ) across 3 years. Hyperpolarized MRI was acquired using a coronal Cartesian fast gradient recalled echo sequence with a partial echo and segmented using a k-means clustering algorithm. A maximum entropy mask was used to generate a region-of-interest for texture feature extraction using a custom-developed algorithm and the PyRadiomics platform. The principal component and Boruta analyses were used for feature selection. Ensemble-based and single machine-learning classifiers were evaluated using area-under-the-receiver-operator-curve and sensitivity-specificity analysis. We evaluated 88 ex-smoker participants with months follow-up data, 57 of whom (22 females/35 males, years) had negligible changes in and 31 participants (7 females/24 males, years) with worsening . In addition, 3/88 ex-smokers reported a change in smoking status. We generated machine-learning models to predict decline using demographics, spirometry, and texture features, with the later yielding the highest classification accuracy of 81%. The combined model (trained on all available measurements) achieved the overall best classification accuracy of 82%; however, it was not significantly different from the model trained on MRI texture features alone. For the first time, we have employed hyperpolarized MRI ventilation texture features and machine-learning to identify ex-smokers with accelerated decline in with 82% accuracy.

436 Immunotherapy Sensitization via Tumor Acidosis Mitigation by Esomeprazole Monitored with MRI

OBJECTIVES/GOALS: Acidity and the lactate-to-pyruvate ratio correlate with immunotherapy resistance. AcidoCEST MRI and hyperpolarized magnetic resonance spectroscopy (HP-MRS) measure extracellular pH and lactate-to-pyruvate ratio. We will establish a baseline for these biomarkers then observe changes after combination esomeprazole and immunotherapy. METHODS/STUDY POPULATION: We used multiple melanoma models created via serial in vivo passage under immunotherapeutic pressure (FVAX, CTLA-4, PD-1, PD-L1). We used four of these corresponding to 25%, 50%, 75% and 100% resistance (TMT, F2, F3, and F4, respectively). HP-MRS was performed two weeks post implantation in male BL6 mice with AcidoCEST MRI 2-3 days later. Tumors were implanted in additional mice and grown for 1 week. We used esomeprazole as a possible immunotherapy sensitizer. Esomeprazole (or PBS) alone and in combination with immune checkpoint blockade (ICB; αCTLA-4, αPD-1) was then conducted every 3 days for 3 doses. ICB was administered 3h after esomeprazole. AcidoCEST MRI was performed the day after the final dose of combination therapy and 3h after esomeprazole (or PBS) alone. HP-MRS was performed 2-3 days after acidoCEST MRI. RESULTS/ANTICIPATED RESULTS: There was a statistical increase in the lactate-to-pyruvate ratio of the F4 group compared with TMT, F2, and F3 groups (p < 0.05). The TMT, F2, and F3 groups did not differ significantly. The extracellular pH (pHe) of the TMT group was statistically lower than the F2 and F4 groups (p < 0.05). The pHe did not differ significantly between the TMT and F3 groups nor the F2, F3, and F4 groups. The lactate-to-pyruvate ratio and pHe after combination treatment with esomeprazole and ICB did not differ compared to PBS+ICB control. Treatment with esomeprazole alone generated higher lactate-to-pyruvate ratio compared with PBS alone. Tumor volume curves and survival curves of mice bearing F4 tumors treated with esomeprazole combination with ICB showed no difference compared with PBS+ICB, PBS alone, and esomeprazole alone. DISCUSSION/SIGNIFICANCE: We differentiated between the 100% and 25% resistant models with both pHe and lactate-to-pyruvate ratio, although the pHe was counterintuitive. Esomeprazole was ineffective, but other potential sensitizers exist. A non-invasive clinical imaging tool and sensitizer would permit more personalized treatment plans so treatment is more effective.

Abstract 6165: Early detection of pancreatic cancer by hyperpolarized magnetic resonance

Abstract Introduction: Pancreatic cancer is difficult to diagnose due to its asymptomatic presentation at early stages. Therefore, there is an unmet need for non-invasive imaging markers that can help identify the aggressive pancreatic lesions at an early time point. One of the most promising imaging biomarkers is the conversion of hyperpolarized (HP) pyruvate to lactate1-3. With HP metabolic imaging, the conversion will be monitored among different premalignant models at different timepoints as well as tested against pancreatitis, a known confounder of pancreatic cancer in the clinic. Methods: HP [1-13C]pyruvate Magnetic Resonance Spectroscopy (MRS) was employed to study the metabolic processes in tamoxifen inducible genetically engineered mouse models (P48CreERT2;LSL-KrasG12D(iKC)) with pre-invasive pancreatic intraepithelial neoplasia (PanIN) precursor lesions, invasive pancreatic cancer model (P48CreERT2;LSL-KrasG12D; LSL-p53R172H (iKPC)) and control animals (P48CreERT2 (iC)) at 7T Bruker MRI scanner. These mice were imaged before tamoxifen induction at 10-, 20-, and 30-weeks post induction. For the pancreatitis model, iC and iKC mice they were treated with caerulein for three weeks, 7 weeks after tamoxifen induction. The pancreatitis mice were imaged 24 hours after the last caerulein injection. Results/Discussion: HP lactate-to-pyruvate ratio is increased in the cancer models compared to the control model. In the iKPC mouse model, at the 20-week post induction imaging there was a significant increase of the lactate-to-pyruvate ratio compared to the 10-weektime point after induction. The 20-week iKPC time point ratio compared to the iKC and control mouse models was significantly higher, indicating the aggressive nature of the disease. Even in the iKC model there is a slight increase of the lactate-to-pyruvate ratio at 20-weeks post induction compared to both previous time points, pre-induction and 10-week. No change in the lactate-to-pyruvate ratio was not observed with the pancreatitis phenotype. In the future, we plan on imaging at earlier timepoints or at smaller intervals in the iKPC model, to observe the exact moment the metabolism switches to lactate. Conclusion: Our data demonstrates that the metabolic flux to lactate is only increasing in the premalignant models of pancreatic cancer but not in the pancreatitis model, suggesting that the differentiation between early pancreatic cancer and pancreatitis can be achieved by hyperpolarized metabolic imaging. We are currently in the process of translating this in a clinical trial at MD Anderson Cancer Center. Citation Format: Paytience L. Smith, José S. Enriquez, Rian Howell, Olivereen Le Roux, Shivanand Pudakalakatti, Prasanta Dutta, Florencia Mcallister, Pratip Bhattacharya. Early detection of pancreatic cancer by hyperpolarized magnetic resonance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6165.

Abstract 4157: Combining hyperpolarized magnetic resonance and positron emission tomography to interrogate prostate cancer metabolism

Abstract Background: There is an unmet clinical need for imaging biomarkers to distinguish indolent from aggressive prostate cancer (PCa). Many advanced and aggressive PCa patients receiving anti-androgens (enzalutamide) develop resistance. It is hypothesized that dysregulated cell metabolism is a key driver for PCa progression and therapy resistance. Two pathways commonly involved in PCa are glycolysis and fatty acid metabolism. Therefore, metabolic imaging and metabolomics were performed on enzalutamide sensitive/resistant, Androgen Receptor dependent (AR+) and AR independent (AR-) patient derived xenograft (PDX) tumors. To interrogate both pathways, [1-13C]-pyruvate hyperpolarized magnetic resonance spectroscopy (HP-MRS) and [18F]-fluorodeoxyglucose positron emission tomography (18F-FDG) for glycolysis, and [18F]-fluoro-pivalic acid positron emission tomography (18F-FPIA) for fatty acid metabolism were employed. 1H Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography with tandem mass spectrometry (LC-MS-MS) were employed for validation purposes. Methods: [1-13C]-labeled pyruvic acid was hyperpolarized using a DNP HyperSense polarizer following standard protocol. Anatomical MRI and 13C-MRS were obtained on different PCa PDX mouse models at two different time points using a Bruker 7T scanner. The PDX models included AR+ enzalutamide sensitive (183-A, 180-30), AR+ enzalutamide resistant (274-4), and AR- (144-4, 114-B). The time points imaged were before and after 7 days of treatment with enzalutamide. 1H-NMR spectroscopy was performed on extracted tissue. Simultaneously, 18F-FPIA-PET imaging were acquired on the same models on an Albira trimodal PET station. Results: The dynamic metabolic flux ratio, lactate-to-pyruvate (Lac/Pyr) was determined in vivo and used as a treatment response marker. The Lac/Pyr ratios were significantly higher in resistant tumors compared to sensitive tumors (p<0.01). The enzalutamide sensitive group had a lower Lac/Pyr ratio after treatment, while the enzalutamide resistant group had a higher Lac/Pyr ratio. After treatment, there was also a decrease in [18F]-FDG uptake, corresponding to the HP-MRS data. This was expected as both Pyruvate and [18F]-FDG interrogate the glycolytic pathway. As for the fatty acid metabolic imaging, PET imaging also revealed that [18F]-FPIA is transported into the tumors, and we are currently exploring how its uptake varies between AR (+/-) PCa-PDX tumors and enzalutamide resistant/sensitive models. Ex vivo NMR and mass spectrometry-based metabolomics validated the in vivo HP-MRS data with higher lactate levels in drug resistant tumors. Conclusion: Combining HP-MRS and PET presents an exciting opportunity to realize imaging-based personalized medicine in different AR (+/-) PCa-PDX preclinical models by interrogating glycolysis and fatty acid oxidation pathways. Citation Format: Muxin Wang, José S. Enriquez, Prasanta Dutta, Jenny Han, Peter Shepherd, Daniel Frigo, Federica Pisaneschi, Pratip K. Bhattacharya. Combining hyperpolarized magnetic resonance and positron emission tomography to interrogate prostate cancer metabolism [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4157.

Abstract 4156: Monitoring early chemotherapy response in murine pancreatic ductal adenocarcinoma using non-invasive hyperpolarized magnetic resonance spectroscopic imaging with 13C-pyruvate

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is a rarely operable cancer with a very poor prognosis. Nearly 100% of affected patients receive one of two alternative first-line chemotherapies during the course of their disease: 1.) Gemcitabine-Abraxane (G/A) or 2.) FOLFIRINOX. Treatment success varies widely between the patients due to individual molecular, structural tumor and metabolic heterogeneity. In this project, we use hyperpolarized 13C-pyruvate magnetic resonance spectroscopic imaging (HP-MRSI) to non-invasively characterize early metabolic changes in murine endogenous PDAC in response to the mentioned chemotherapies. Methods: 18 KPC (Ptf1awt/cre(C)Kraswt/G12D(K)Trp53fl/fl(P)) mice with 74 distinct tumour nodules, visually identified based on T2-weighted anatomical imaging, were used in this study. The conversion of pyruvate to lactate was detected by HP-MRSI, performed on 7 T preclinical system using modified 3D balanced steady-state free precession (bSSFP) sequence on day 0 pre-therapy and on day 3 post-therapy. 100μg/g G (intraperitoneally) and 30μg/g A (intravenously) were applied twice on day 0 post-scan and day 2 (n=6). FOLFIRINOX (60μg/g 5-Fluoruracil, 27μg/g Irinotecan, 12.8μg/g Oxaliplatin, 60μg/g Leucovorin) was injected intravenously once on day 0 post-scan (n=6). Vehicle mice (n=6) were left untreated. Area under the curves (AUC) of lactate to pyruvate time-courses (AUCl/AUCp) were calculated. Primary murine PDAC cell lines were established from biopsies of 58 imaging region, sequenced using 3’RNA-Seq (Poly-ASeq) method and analysed using Dseq2 R package. Results: G/A and FOLFIRINOX-treated tumors exhibited heterogeneous metabolic responses in distinct nodules, while non-treated group tumors remained stable. A significant difference in metabolic changes (p = 0.01, ANOVA) from day 0 to day 3 was observed between FOLFIRINOX, G/A, and non-treated groups. Low glycolytic tumors showed a positive trend, more pronounced with FOLFIRINOX than G/A treatment. Metabolically active nodules with high AUCl/AUCp on day 0 reduced lactate turnover under therapy. These findings suggest that metabolic HP-MRSI can detect treatment-induced changes in tumor composition and subtype-specific epithelial/mesenchymal plasticity, correlating with the metabolic phenotype. Further investigation will include histology, subtype-specific biomarkers, transcriptional signatures, and regional transcriptome analysis to explain molecular changes in metabolism. Conclusions: We have applied a non-invasive approach for detection of metabolic changes under chemotherapy in murine PDAC. These findings will contribute in the long term to the establishment of predictive imaging biomarkers for PDAC. Citation Format: Irina Heid, Anna-Maria Schmidmüller, Simon Baller, Jason G. Skinner, Geoffrey J. Topping, Wolfgang Gottwald, Hussein Trabulssi, Rupert Öllinger, Katja Steiger, Roland Rad, Franz Schilling, Rickmer F. Braren. Monitoring early chemotherapy response in murine pancreatic ductal adenocarcinoma using non-invasive hyperpolarized magnetic resonance spectroscopic imaging with 13C-pyruvate [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4156.

Controlled synthesis and characterization of porous silicon nanoparticles for dynamic nuclear polarization.

Si nanoparticles (NPs) have been actively developed as a hyperpolarized magnetic resonance imaging (MRI) contrast agent with an imaging window close to one hour. However, the progress in the development of NPs has been hampered by the incomplete understanding of their structural properties that correspond to efficient hyperpolarization buildup and long polarization decays. In this work we study dynamic nuclear polarization (DNP) of single crystal porous Si (PSi) NPs with defined doping densities ranging from nominally undoped to highly doped with boron or phosphorus. To develop such PSi NPs we perform low-load metal-assisted catalytic etching for electronic grade Si powder followed by thermal oxidation to form the dangling bonds in the Si/SiO2 interface, the Pb centers. Pb centers are the endogenous source of the unpaired electron spins necessary for DNP. The controlled fabrication and oxidation procedures allow us to thoroughly investigate the impact of the magnetic field, temperature and doping on the DNP process. We argue that the buildup and decay rate constants are independent of size of Si crystals between approximately 10 and 60 nm. Instead, the rates are limited by the polarization transfer across the nuclear spin diffusion barrier determined by the large hyperfine shift of the central 29Si nuclei of the Pb centers. The size-independent rates are then weakly affected by the doping degree for low and moderately doped Si although slight doping is required to achieve the highest polarization. Thus, we find the room temperature relaxation of low boron doped PSi NPs reaching 75 ± 3 minutes and nuclear polarization levels exceeding ∼6% when polarized at 6.7 T and 1.4 K. Our study thus establishes solid grounds for further development of Si NPs as hyperpolarized contrast agents.

A Study on the Diazo-Transfer Reaction Using o-Nitrobenzenesulfonyl Azide

Abstract 15N-Labeled azides have a great potential as practical and effective tags for vibrational probing and hyperpolarized magnetic resonance imaging of biomolecules. They can be synthesized by reaction of primary amines with a 15N-labeled diazo-transfer reagent. TfNN15N, a γ-15N-labeled diazo-transfer reagent, was developed to prepare β-15N-labeled azides; these are vibrational probes devoid of strong spectral interference by Fermi resonance. To overcome the stability and safety problems associated with TfNN15N, there is a strong demand for the development of a novel γ-15N-labeled diazo-transfer reagent. We present a study on the diazo-transfer reaction using o-nitrobenzenesulfonyl azide (o-NsN3). o-NsNN15N, a γ-15N-labeled diazo-transfer reagent, was newly developed and found to be better than TfNN15N with respect to its physicochemical properties and ease of synthesis. Unlike TfNN15N, however, o-NsNN15N was found to afford a mixture of β- and γ-15N-labeled azides rather than the β-15N-labeled azide alone. A mechanism for the diazo-transfer reaction of o-NsNN15N with primary amines is proposed to explain the formation of such isotopomeric mixtures.

O-26 - Combining Positron Emission Tomography and Hyperpolarized Magnetic Resonance to Interrogate Prostate Cancer Metabolism

O-26 - Combining Positron Emission Tomography and Hyperpolarized Magnetic Resonance to Interrogate Prostate Cancer Metabolism

Multi-sample/multi-nucleus parallel polarization and monitoring enabled by a fluid path technology compatible cryogenic probe for dissolution dynamic nuclear polarization

Low throughput is one of dissolution Dynamic Nuclear Polarization (dDNP) main shortcomings. Especially for clinical and preclinical applications, where direct 13C nuclei polarization is usually pursued, it takes hours to generate one single hyperpolarized (HP) sample. Being able to hyperpolarize more samples at once represents a clear advantage and can expand the range and complexity of the applications. In this work, we present the design and performance of a highly versatile and customizable dDNP cryogenic probe, herein adapted to a 5 T “wet” preclinical polarizer, that can accommodate up to three samples at once and, most importantly, it is capable of monitoring the solid-state spin dynamics of each sample separately, regardless of the kind of radical used and the nuclear species of interest. Within 30 min, the system was able to dispense three HP solutions with high repeatability across the channels (30.0 ± 1.2% carbon polarization for [1-13C]pyruvic acid doped with trityl radical). Moreover, we tested multi-nucleus NMR capability by polarizing and monitoring simultaneously 13C, 1H and 129Xe. Finally, we implemented [1-13C]lactate/[1-13C]pyruvate polarization and back-to-back dissolution and injection in a healthy mouse model to perform multiple-substrate HP Magnetic Resonance Spectroscopy (MRS) at 14.1 T.

Nanomaterials for hyperpolarized nuclear magnetic resonance and magnetic resonance imaging.

Nanomaterials play an important role in the development and application of hyperpolarized materials for magnetic resonance imaging (MRI). In this context they can not only act as hyperpolarized materials which are directly imaged but also play a role as carriers for hyperpolarized gases and catalysts for para-hydrogen induced polarization (PHIP) to generate hyperpolarized substrates for metabolic imaging. Those three application possibilities are discussed, focusing on carbon-based materials for the directly imaged particles. An overview over recent developments in all three fields is given, including the early developments in each field as well as important steps towards applications in MRI, such as making the initially developed methods more biocompatible and first imaging experiments with spatial resolution in either phantoms or in vivo studies. Focusing on the important features nanomaterials need to display to be applicable in the MRI context, a wide range of different approaches to that extent is covered, giving the reader a general idea of different possibilities as well as recent developments in those different fields of hyperpolarized magnetic resonance. This article is categorized under: Therapeutic Approaches and Drug Discovery > Emerging Technologies Diagnostic Tools > In Vivo Nanodiagnostics and Imaging.

Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized 13C magnetic resonance imaging

Hyperpolarized carbon-13 magnetic resonance imaging is a promising technique for in vivo metabolic interrogation of alterations between health and disease. This study introduces a formalism for quantifying the metabolic information in hyperpolarized imaging. This study investigated a novel perfusion formalism and metabolic clearance rate (MCR) model in pre-clinical stroke and in the healthy human brain. Simulations showed that the proposed model was robust to perturbations in T1, transmit B1, and kPL. A significant difference in ipsilateral vs contralateral pyruvate derived cerebral blood flow (CBF) was detected in rats (140 ± 2 vs 89 ± 6 mL/100 g/min, p < 0.01, respectively) and pigs (139 ± 12 vs 95 ± 5 mL/100 g/min, p = 0.04, respectively), along with an increase in fractional metabolism (26 ± 5 vs 4 ± 2%, p < 0.01, respectively) in the rodent brain. In addition, a significant increase in ipsilateral vs contralateral MCR (0.034 ± 0.007 vs 0.017 ± 0.02/s, p = 0.03, respectively) and a decrease in mean transit time (31 ± 8 vs 60 ± 2 s, p = 0.04, respectively) was observed in the porcine brain. In conclusion, MCR mapping is a simple and robust approach to the post-processing of hyperpolarized magnetic resonance imaging.

Exploiting metabolic vulnerabilities after anti-VEGF antibody therapy in ovarian cancer

Despite modest clinical improvement with anti-vascular endothelial growth factor antibody (AVA) therapy in ovarian cancer, adaptive resistance is ubiquitous and additional options are limited. A dependence on glutamine metabolism, via the enzyme glutaminase (GLS), is a known mechanism of adaptive resistance and we aimed to investigate the utility of a GLS inhibitor (GLSi). Our invitro findings demonstrated increased glutamine abundance and a significant cytotoxic effect in AVA-resistant tumors when GLSi was administered in combination with bevacizumab. Invivo, GLSi led to a reduction in tumor growth as monotherapy and when combined with AVA. Furthermore, GLSi initiated after the emergence of resistance to AVA therapy resulted in a decreased metabolic conversion of pyruvate to lactate as assessed by hyperpolarized magnetic resonance spectroscopy and demonstrated robust antitumor effects with a survival advantage. Given the increasing population of patients receiving AVA therapy, these findings justify further development of GLSi in AVA resistance.

Abstract 6222: Comprehensive monitoring of pyruvate metabolism in cancer cells and tumors reveals vulnerability to metabolic inhibition therapy with small molecules

Abstract Introduction: Pyruvate(Pyr) metabolism is a keystone in cancer metabolism, as well as normal cells, and has two major metabolic fluxes; Glycolysis and Oxidative Phosphorylation (OXPHOS). Especially in cancer cells, increased Pyr metabolism meets the demand of higher energy consumption during rapid cell growing state. Therefore, monitoring tumor Pyr metabolic flux in vitro and in vivo should be necessary to develop a therapeutic strategy using small molecules which can inhibit the fluxes.Aim: We performed in vitro metabolic analysis on pancreatic cancer cells (MiaPaCa2) and applied a novel in vivo imaging technology “hyperpolarized 13C-pyruvate magnetic resonance spectroscopic imaging (HP-MRSI)” to dynamic monitoring of the impact of Glycolysis and OXPHOS inhibitors on the MiaPaCa2 xenografts. Methods: We used a novel LDH inhibitor “NCI-006” for Glycolysis inhibition and Mitochondrial Complex 1(MC1) Inhibitor "Metformin(Met)", which is already clinically available, and “IACS-010759(IACS)” for OXPHOS inhibition, in vitro and in vivo. Extracellular flux (EXF) analysis and HP-MRSI were performed before and after administration of each or both to assess inhibitor impact on metabolic flux in vitro and in vivo, respectively. Results: HP-MRSI confirmed that LDH activity in the tumor was suppressed by NCI-006 (83.3±4.4% decrease) and accelerated by Met (69.9±6.6% increase) and IACS (88.6±25.1% increase). We confirmed these in vivo observations are fully consistent with the effect of those inhibitors in vitro on the energy profile of MiaPaCa2, and also the close correlation of these data with the results of the ex vivo LDH activity assay, suggesting HP-MRSI can reliably monitor in vivo on target effects of the inhibitors without need for tissue sampling. In addition, combined treatment with the NCI-006 and MC1 inhibitor significantly suppressed in vitro cell growth and tumor growth in an efficacy study of MiaPaCa2 xenografts, compared to each single administration. Apoptosis assay showed the combined treatment induced apoptosis in MIA Paca2 cells. Conclusion: Using EXF analyzer and HP-MRSI revealed that Glycolysis inhibition redirects tumor Pyr toward OXPHOS and also MC1 inhibition redirects tumor Pyr toward Glycolysis. Combination therapy suppresses metabolic plasticity, causing metabolic quiescence in vitro and tumor growth inhibition in vivo. HP-MRSI is thought to be useful for pancreatic cancer patients to establish the current treatment model because of no need to obtain clinical samples, such as patients-derived cancer cells or spheroid from the patients. The current proof of concept can be of great value in developing new therapeutic strategies using metabolic inhibitors to treat cancers. Citation Format: Nobu Oshima, Yuki Aisu, Shigeo Hisamori, Shigeru Tsunoda, Hiroki Hashida, Kenji Uryuhara, Hiroyuki Kobayashi, Masato Kondo, koji Kitamura, Satoshi Kaihara, Kazutaka Obama, Krishna Murali, Len Neckers. Comprehensive monitoring of pyruvate metabolism in cancer cells and tumors reveals vulnerability to metabolic inhibition therapy with small molecules [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6222.

Abstract 2484: Hyperpolarized magnetic resonance spectroscopy assessment of the metabolic effects of glutaminase inhibitor therapy in an ovarian cancer model

Abstract Introduction: Ovarian cancer accounts for more deaths than any other cancer of the female reproductive system despite advances in targeted drugs such as anti-VEGF antibody (AVA). Additionally, resistance to AVA therapy is nearly ubiquitous given the occurrence of metabolic adaptations such as a dependence on glutamine metabolism via the enzyme glutaminase. Objectives: To examine the metabolic vulnerability of AVA-resistant cancer with glutaminase inhibitor (GLSi) therapy and to test the utility of hyperpolarized magnetic resonance spectroscopy (HP-MRS) for assessing changes in lactate metabolism associated with GLSi treatment following injection of hyperpolarized [1-13C] pyruvate. Methods: We used a well-characterized SKOV3ip1 orthotopic mouse model of high-grade serous ovarian cancer with adaptive resistance to AVA (bevacizumab) treatment. Following three weeks of GLSi and bevacizumab treatment, we performed HP-MRS imaging to directly and non-invasively compare metabolic changes between the treatment groups of bevacizumab monotherapy versus a combined treatment of bevacizumab plus GLSi therapy. Upon injection of hyperpolarized [1-13C] pyruvate, we quantitatively assessed a normalized lactate ratio (nLac), defined as the 13C resonance signal of lactate divided by the sum of the pyruvate and lactate signals, sixty seconds after injection. GLSi treatment effect was subsequently compared between GLSi monotherapy, bevacizumab monotherapy and control mice receiving no therapy. This was performed via gross necropsy to assess disease burden and quantification of tumor weight and nodule number. Results: Significance analysis microarrays (SAM) of bevacizumab treated tumors from the mouse models revealed greater glutamine and glutamate abundance in all tissues suggestive of a glutamine dependence in AVA resistant tumors that could be susceptible to glutaminase inhibition. The in vivo HP-MRS provided a direct and non-invasive investigation of pyruvate metabolism of tumors in situ. Our analysis indicated that the pyruvate-to-lactate conversion was significantly reduced in vivo by GLSi treatment (0.337 vs 0.178, p=0.0002), suggestive of therapeutic efficacy of GLSi in the setting of AVA-resistant tumors. Consistent with this, we observed a statistically significant reduction in tumor weight (0.05g vs 0.62g and 0.64g, p&amp;lt;0.01) and tumor nodule number (n=3.3 vs n=12.8 and n=13.9, p&amp;lt;0.05) in mice treated with a combination of bevacizumab and GLSi compared to the control group, or GLSi monotherapy, respectively. Conclusions: Using HP-MRS in vivo, we directly monitored metabolic changes occurring after GLSi treatment. These findings are consistent with the notion of glutamine dependence being an important resistance mechanism to AVA therapy and imply potential future use of HP-MRS in monitoring therapeutic efficacy in a clinical realm. Citation Format: Deanna Glassman, Mark S. Kim, Prasanta Dutta, Charles V. Kingsley, Emine Bayraktar, Yutuan Wu, Elaine Stur, Lingegowda S. Mangala, Katherine Foster, Sanghoon Lee, Timothy A. Yap, Shannon N. Westin, Pratip Bhattacharya, Anil K. Sood. Hyperpolarized magnetic resonance spectroscopy assessment of the metabolic effects of glutaminase inhibitor therapy in an ovarian cancer model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2484.

Biomedical Imaging in Experimental Models of Cardiovascular Disease.

Major advances in biomedical imaging have occurred over the last 2 decades and now allow many physiological, cellular, and molecular processes to be imaged noninvasively in small animal models of cardiovascular disease. Many of these techniques can be also used in humans, providing pathophysiological context and helping to define the clinical relevance of the model. Ultrasound remains the most widely used approach, and dedicated high-frequency systems can obtain extremely detailed images in mice. Likewise, dedicated small animal tomographic systems have been developed for magnetic resonance, positron emission tomography, fluorescence imaging, and computed tomography in mice. In this article, we review the use of ultrasound and positron emission tomography in small animal models, as well as emerging contrast mechanisms in magnetic resonance such as diffusion tensor imaging, hyperpolarized magnetic resonance, chemical exchange saturation transfer imaging, magnetic resonance elastography and strain, arterial spin labeling, and molecular imaging.

Prediction of multiple pH compartments by deep learning in magnetic resonance spectroscopy with hyperpolarized 13C-labelled zymonic acid

BackgroundHyperpolarization enhances the sensitivity of nuclear magnetic resonance experiments by between four and five orders of magnitude. Several hyperpolarized sensor molecules have been introduced that enable high sensitivity detection of metabolism and physiological parameters. However, hyperpolarized magnetic resonance spectroscopy imaging (MRSI) often suffers from poor signal-to-noise ratio and spectral analysis is complicated by peak overlap. Here, we study measurements of extracellular pH (pHe) by hyperpolarized zymonic acid, where multiple pHe compartments, such as those observed in healthy kidney or other heterogeneous tissue, result in a cluster of spectrally overlapping peaks, which is hard to resolve with conventional spectroscopy analysis routines.MethodsWe investigate whether deep learning methods can yield improved pHe prediction in hyperpolarized zymonic acid spectra of multiple pHe compartments compared to conventional line fitting. As hyperpolarized 13C-MRSI data sets are often small, a convolutional neural network (CNN) and a multilayer perceptron (MLP) were trained with either a synthetic or a mixed (synthetic and augmented) data set of acquisitions from the kidneys of healthy mice.ResultsComparing the networks’ performances compartment-wise on a synthetic test data set and eight real kidney data shows superior performance of CNN compared to MLP and equal or superior performance compared to conventional line fitting. For correct prediction of real kidney pHe values, training with a mixed data set containing only 0.5% real data shows a large improvement compared to training with synthetic data only. Using a manual segmentation approach, pH maps of kidney compartments can be improved by neural network predictions for voxels including three pH compartments.ConclusionThe results of this study indicate that CNNs offer a reliable, accurate, fast and non-interactive method for analysis of hyperpolarized 13C MRS and MRSI data, where low amounts of acquired data can be complemented to achieve suitable network training.

Ketohexokinase-mediated fructose metabolism is lost in hepatocellular carcinoma and can be leveraged for metabolic imaging.

The ability to break down fructose is dependent on ketohexokinase (KHK) that phosphorylates fructose to fructose-1-phosphate (F1P). We show that KHK expression is tightly controlled and limited to a small number of organs and is down-regulated in liver and intestinal cancer cells. Loss of fructose metabolism is also apparent in hepatocellular adenoma and carcinoma (HCC) patient samples. KHK overexpression in liver cancer cells results in decreased fructose flux through glycolysis. We then developed a strategy to detect this metabolic switch in vivo using hyperpolarized magnetic resonance spectroscopy. Uniformly deuterating [2-13C]-fructose and dissolving in D2O increased its spin-lattice relaxation time (T1) fivefold, enabling detection of F1P and its loss in models of HCC. In summary, we posit that in the liver, fructolysis to F1P is lost in the development of cancer and can be used as a biomarker of tissue function in the clinic using metabolic imaging.